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Description This PhD position explores how AI agents can play games to generate meaningful gameplay data. You will work on reinforcement learning, automated feature engineering, and the comparison of AI- and
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gameplay affects player experience. You will study gameplay as behaviour, engineer human-centred gameplay features, and develop methods to link in-game actions to cognitive and experiential outcomes
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to the room-temperature controller. Over the course of your PhD, you will devise innovative system architectures and circuits, design several prototypes of cryo-CMOS circuits, tape them out in advanced CMOS
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contact: Dr. Maria Heuss, Assistant Professor, m.c.heuss@uva.nl . Please quote “PhD Position” in the subject for requesting information Where to apply Website https://www.academictransfer.com/en/jobs
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the PhD physically at Thales, working directly with planners, engineers, and data teams on real production challenges. The PhD will be hosted by the Industrial Engineering and Management Sciences (IEMS
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foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in
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the main deliverables to the consortium before 31 December 2028. In the remaining time of this position, the PhD candidate can write and finalize the thesis. Where to apply Website https
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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Production group, as a PhD candidate. We seek a PhD candidate who is eager to advance the future of software engineering and contribute to high-impact, internationally visible work while collaborating with
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Engineering (IDE) at TU Delft invites applications for two fully funded, 4-year PhD positions within the European Defence Fund (EDF) project HARVEST, which aims to create a lightweight, wearable energy system